IEEE - Institute of Electrical and Electronics Engineers, Inc. - User Modeling for Churn Prediction in E-Commerce

Author(s): Patrik Berger ; Michal Kompan
Sponsor(s): IEEE Computer Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 March 2019
Volume: 34
Page(s): 44 - 52
ISSN (Electronic): 1941-1294
ISSN (Paper): 1541-1672
DOI: 10.1109/MIS.2019.2895788
Regular:

In the domain of e-commerce, acquiring a new customer is generally more expensive than keeping the existing ones. A successful prediction of churn of a specific customer provides an opportunity to... View More

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